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Kernel methods give powerful, flexible, and theoretically grounded approaches to solving many problems in machine learning.
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Ali Rahimi and Benjamin Recht · 2007
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Ali Rahimi and Benjamin Recht · 2008
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Ali Rahimi and Benjamin Recht · 2008
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Corinna Cortes, M Mohri and A Talwalkar · 2010
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“JSAT: Java Statistical Analysis Tool”, https://code.google.com/p/java-statistical-analysis-tool/ , 2011-15
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“A Kernel Two-Sample Test”
Arthur Gretton, Karsten˜M Borgwardt, Malte˜J Rasch, Bernhard Sch“”olkopf and Alex˜J Smola · 2012
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Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo and Bernhard Sch“”olkopf · 2012
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Tianbao Yang, Yu-Feng Li, Mehrdad Mahdavi, Rong Jin and Zhi-Hua Zhou · 2012
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St“’ephane Boucheron, G“’abor Lugosi and Pascal Massart · 2013
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“FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test”, 2014
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